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authorJon Dufresne <jon.dufresne@gmail.com>2019-12-23 05:47:13 -0800
committerMariusz Felisiak <felisiak.mariusz@gmail.com>2019-12-23 14:48:16 +0100
commiteb40426259cbfd8c4d25797c878424542cf1a1a7 (patch)
tree2eaeee44b77b8e1a0e829baa7a0f1cafcdb8f6b6 /docs/topics/db
parent1e45b06cfd87c4866a201202200ae888a8b8e259 (diff)
[3.0.x] Removed unnecessary code-block directives in various docs.
Backport of 5e00bd1f7717149573df9607b848297a520881d3 from master
Diffstat (limited to 'docs/topics/db')
-rw-r--r--docs/topics/db/aggregation.txt9
1 files changed, 3 insertions, 6 deletions
diff --git a/docs/topics/db/aggregation.txt b/docs/topics/db/aggregation.txt
index 0aa23e8a27..2b9d61778c 100644
--- a/docs/topics/db/aggregation.txt
+++ b/docs/topics/db/aggregation.txt
@@ -43,9 +43,8 @@ used to track the inventory for a series of online bookstores:
Cheat sheet
===========
-In a hurry? Here's how to do common aggregate queries, assuming the models above:
-
-.. code-block:: python
+In a hurry? Here's how to do common aggregate queries, assuming the models
+above::
# Total number of books.
>>> Book.objects.count()
@@ -160,9 +159,7 @@ specified values.
The syntax for these annotations is identical to that used for the
:meth:`~.QuerySet.aggregate` clause. Each argument to ``annotate()`` describes
an aggregate that is to be calculated. For example, to annotate books with the
-number of authors:
-
-.. code-block:: python
+number of authors::
# Build an annotated queryset
>>> from django.db.models import Count